Peng-Peng Li
Datos Biográficos
| ID | 5895217 |
|---|---|
| NOMBRE | Peng-Peng Li |
| NOMBRES | Peng-Peng |
| APELLIDO | Li |
| FIRMA | LI P |
| AFILIACIONES | Lanzhou Jiaotong University |
| ORCID | 0000-0001-9508-3774 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 12 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 12 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
A Method for Recognizing I-Shaped Building Patterns Utilizing Multi-Scale Data and Knowledge Graph
Building pattern recognition is essential for understanding the dynamics of urban development, facilitating automatic map synthesis, and aiding in municipal planning Sefforts. Traditional research methods, which rely solely on geometric feature extraction from isolated objects, struggle to capture the complex and visually significant building patterns within urban environments, often suffering from low accuracy and robustness. This paper proposes…
Experiences of social work students on placements in residential aged care facilities
Aged care social workers are essential in promoting wellbeing, social justice, and human rights for older adults, yet there is a shortage of social workers with specialized aged care training. Population aging is a global issue creating growing demands for high-quality aged care services. Bridging the gap between social work education and aged care service requires collaboration between the universities and aged care service providers. This scopi…
A Multi-Semantic Feature Fusion Method for Complex Address Matching of Chinese Addresses
Accurate address matching is crucial for the analysis, integration, and intelligent management of urban geospatial data and is also a key step in achieving geocoding. However, due to the complexity, diversity, and irregularity of address expression, address matching becomes a challenging task. This paper proposes a multi-semantic feature fusion method for complex address matching of Chinese addresses that formulates address matching as a classifi…
Geo-MRC
Geographic Named Entity Recognition (Geo-NER) is a crucial task for extracting geography-related entities from unstructured text, and it plays an essential role in geographic information extraction and spatial semantic understanding. Traditional approaches typically treat Geo-NER as a sequence labeling problem, where each token is assigned a single label. However, this formulation struggles to handle nested entities effectively. To overcome this …
Wisdom must be hurt
A spatial projection pursuit model for identifying comprehensive urban vitality on blocks using multisource geospatial data
Covid-19 epidemic and public health interventions in Shanghai, China
Background The Shanghai COVID-19 epidemic is an important example of a local outbreak and of the implementation of normalized prevention and disease control strategies. The precise impact of public health interventions on epidemic prevention and control is unknown. Methods We collected information on COVID-19 patients reported in Shanghai, China, from January 30 to May 31, 2022. These newly added cases were classified as local confirmed cases, lo…
Envisioning Rhythm
For the study described here the authors combined digital technology with 3D printing to explore the feasibility of visualizing the rhythm of natural ecosystems. The achievements of this study were nine pieces of 3D-printed works. The authors discussed the Chinese Taoist view on ecological philosophy, aesthetics, and ecofeminism; probed the spiritual meaning of nature; and adopted technologies to visualize the rhythm of nature. By doing so, the a…
Communication Mechanisms and Implications of the Covid-19 Risk Event in Chinese Online Communities
Based on the context of communication and use of online communities in China, this study explored the characteristics and defects of risk communication of the government and official media in the event of COVID-19, as well as the factors that affected people's perception of the risk and protective behavior. The following results were found: (1) The government and official (mainstream) media accounts suffered from information lag in the early stag…
Grouping Together to Fight Cancer
With the increasing number of cancer survivors, the question of how to coexist with cancer has become more and more pressing. This research uses a mutual help WeChat group organized by cancer patients as the research field to observe the daily interactions of cancer patients, so as to improve understanding of how social media technology can help cancer patients in the treatment and recovery process. The study found that the WeChat group is the ma…
Deep learning method for Chinese multisource point of interest matching
Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element Segmentation
Chinese address element segmentation is a basic and key step in geocoding technology, and the segmentation results directly affect the accuracy and certainty of geocoding. However, due to the lack of obvious word boundaries in Chinese text, the grammatical and semantic features of Chinese text are complicated. Coupled with the diversity and complexity in Chinese address expressions, the segmentation of Chinese address elements is a substantial ch…
Sin obras prominentes en esta página.
Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element Segmentation
Chinese address element segmentation is a basic and key step in geocoding technology, and the segmentation results directly affect the accuracy and certainty of geocoding. However, due to the lack of obvious word boundaries in Chinese text, the grammatical and semantic features of Chinese text are complicated. Coupled with the diversity and complexity in Chinese address expressions, the segmentation of Chinese address elements is a substantial ch…
Communication Mechanisms and Implications of the Covid-19 Risk Event in Chinese Online Communities
Based on the context of communication and use of online communities in China, this study explored the characteristics and defects of risk communication of the government and official media in the event of COVID-19, as well as the factors that affected people's perception of the risk and protective behavior. The following results were found: (1) The government and official (mainstream) media accounts suffered from information lag in the early stag…
Grouping Together to Fight Cancer
With the increasing number of cancer survivors, the question of how to coexist with cancer has become more and more pressing. This research uses a mutual help WeChat group organized by cancer patients as the research field to observe the daily interactions of cancer patients, so as to improve understanding of how social media technology can help cancer patients in the treatment and recovery process. The study found that the WeChat group is the ma…
Deep learning method for Chinese multisource point of interest matching
Covid-19 epidemic and public health interventions in Shanghai, China
Background The Shanghai COVID-19 epidemic is an important example of a local outbreak and of the implementation of normalized prevention and disease control strategies. The precise impact of public health interventions on epidemic prevention and control is unknown. Methods We collected information on COVID-19 patients reported in Shanghai, China, from January 30 to May 31, 2022. These newly added cases were classified as local confirmed cases, lo…
Envisioning Rhythm
For the study described here the authors combined digital technology with 3D printing to explore the feasibility of visualizing the rhythm of natural ecosystems. The achievements of this study were nine pieces of 3D-printed works. The authors discussed the Chinese Taoist view on ecological philosophy, aesthetics, and ecofeminism; probed the spiritual meaning of nature; and adopted technologies to visualize the rhythm of nature. By doing so, the a…
Wisdom must be hurt
A spatial projection pursuit model for identifying comprehensive urban vitality on blocks using multisource geospatial data
A Multi-Semantic Feature Fusion Method for Complex Address Matching of Chinese Addresses
Accurate address matching is crucial for the analysis, integration, and intelligent management of urban geospatial data and is also a key step in achieving geocoding. However, due to the complexity, diversity, and irregularity of address expression, address matching becomes a challenging task. This paper proposes a multi-semantic feature fusion method for complex address matching of Chinese addresses that formulates address matching as a classifi…
Geo-MRC
Geographic Named Entity Recognition (Geo-NER) is a crucial task for extracting geography-related entities from unstructured text, and it plays an essential role in geographic information extraction and spatial semantic understanding. Traditional approaches typically treat Geo-NER as a sequence labeling problem, where each token is assigned a single label. However, this formulation struggles to handle nested entities effectively. To overcome this …
A Method for Recognizing I-Shaped Building Patterns Utilizing Multi-Scale Data and Knowledge Graph
Building pattern recognition is essential for understanding the dynamics of urban development, facilitating automatic map synthesis, and aiding in municipal planning Sefforts. Traditional research methods, which rely solely on geometric feature extraction from isolated objects, struggle to capture the complex and visually significant building patterns within urban environments, often suffering from low accuracy and robustness. This paper proposes…
Experiences of social work students on placements in residential aged care facilities
Aged care social workers are essential in promoting wellbeing, social justice, and human rights for older adults, yet there is a shortage of social workers with specialized aged care training. Population aging is a global issue creating growing demands for high-quality aged care services. Bridging the gap between social work education and aged care service requires collaboration between the universities and aged care service providers. This scopi…
Computer Science (7 obras) · Geographic Information Systems Studies (4 obras) · Inference (4 obras) · Artificial Intelligence (3 obras) · Mathematics (3 obras) · Psychology (3 obras) · Convolutional neural network (2 obras) · Data Management and Algorithms (2 obras) · Data mining (2 obras) · Epistemology (2 obras)